Marketing Intelligence
Growth teams move fastest when the next test is obvious. ReRight reads your marketing data, surfaces where the movement is, and feeds that into a Decision Engine built to propose the experiment worth running next.
The Brain answers growth questions — where acquisition is softening, which channel is carrying pipeline, where the funnel leaks — grounded in your connected sources. The Growth Lab then converts those findings into behavioral experiment cards you can act on.
Rather than a generic growth checklist, ReRight reasons from your actual numbers across 47 possible connectors. The Decision Engine frames experiments as testable cards with a hypothesis and a target, so a finding becomes a plan instead of a note.
You spend less time deciding what to test and more time testing. The loop from insight to experiment lives in one place, so nothing gets lost in the handoff between analysis and action.
See marketing experiments and behavioral growth experiments for how the Decision Engine structures a test, and the Marketing Intelligence Brain for the evidence layer underneath.
How does ReRight decide what to test?
The Growth Lab Decision Engine turns findings from your connected data into behavioral experiment cards, each with a hypothesis and a target to measure against.
Is this just AI advice?
No — proposals are grounded in your own marketing data through the Marketing Intelligence Brain, not generic best practices.
Can I run the experiments in the same tool?
Experiments are structured as cards in the Growth Lab, and ReRight also includes WhatsApp Campaigns and Commerce to act on what you learn.